Siddharth Joshi

According to our database, Siddharth Joshi authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks.

Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman

CoRR, 2024

Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift.

Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Investigating the Benefits of Projection Head for Representation Learning.

Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.

Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset.

Siddharth Joshi, Yu Yang, Yihao Xue, Wenhan Yang, Baharan Mirzasoleiman

CoRR, 2023

Data-Efficient Contrastive Self-supervised Learning: Easy Examples Contribute the Most.

Siddharth Joshi, Baharan Mirzasoleiman

CoRR, 2023

Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression.

Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least.

Siddharth Joshi, Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023